Abstract's details

SAMBA (SWOT for the AMazon BAsin)

Fabrice Papa (LEGOS/IRD, France)

Daniel Moreira (SGB, Brazil); Ayan S. Fleischmann (Mamiraua Institute, Brazil); Frédéric Frappart (ISPA/INRAE, France); Alice Fassoni (University of Brasilia, Brazil); Jean-Francois Crétaux (LEGOS/CNES, France); Adrien Paris (Hydro Matters, France); Maurício Cezar Rebello Cordeiro (ANA, Brazil); Santiago Pena Luque (CNES, France); Fernando Jaramillo (Stockholm University, Sweden); Rodrigo Paiva (IPH-UFRGS, Brazil); George Allen (Virginia Tech, USA); Etienne Fluet-Chouinard (Pacific Northwest Nat. Lab., USA); Jefferson Santana Melo (SGB-Rio, Brazil); Michel Calzas (DT INSU/CNRS, France); Sly Wongchuig (CNES-LEGOS, France); Benjamin Kitambo, (Institute of Geodesy, University of Stuttgart, Germany); Marie-Paule Bonnet (ESPACEDEV/IRD, France); Rodrigo Abarca del Rio (University Conception, Chile); Charlotte Blondel (LEGOS/CNRS, France); Andre Martinelli (SGB, Brazil); Pierre-André Garambois (INRAE/RECOVER, France); Stéphane Calmant (LEGOS/IRD, France)

Event: 2025 SWOT Science Team Meeting

Session: Hydrology: River Science Working Group

Presentation type: Oral

The SAMBA (SWOT for the AMazon BAsin) project builds upon the precursor project “SWOT for SOUTH AMERICA”, which was part of the 2020-2023 SWOT Science Team, and covered several thematic areas dealing with the water cycle, hydrology and hydroclimatology of South America. These projects have the overall objectives of advancing water sciences in the context of SWOT and connecting the community working on “hydrology from space” across South America. SAMBA builds upon these past efforts (Fassoni et al., 2021, Cretaux et al., 2023) and achievements (Frappart et al., 2019; Fleischmann et al., 2022; 2023), now with SWOT observations, at the scale of the Amazon basin. Its scientific objectives are twofold: 1) make use of SWOT measurements to improve the benefits of SWOT products for hydrology; 2) work towards answering cutting edge research questions with SWOT observations.
As the largest watershed on Earth, the Amazon indeed plays a key role at a range of scales on the water, energy and carbon cycles, while also supporting an incredible biodiversity and many human communities across the basin. It contributes to about 20% of the total freshwater input from the continents to the global oceans annually. Now affected by multiple cumulative stressors, including changes in regional and global climate superimposed on human disturbances, observing and understanding the Amazon hydrology and its changes is of primary importance.
SAMBA explores SWOT measurements, along with a variety of other satellites, in situ and numerical modeling contributions to progress our understanding of the hydrology and water cycle of the region at different spatio-temporal scales, from basin to regional/local scales at several regions of interest (Mamiraua floodplains, Rio Negro, Curuai-Obidos-Tapajos) to address key scientific questions regarding river science, Amazon floodplains connectivity, hydrological processes during extreme events and the development of new tools such as the assimilations of SWOT data in hydrological models (Wongchuig et al., 2024).
Here, we present recent SAMBA advances and results, including the first characterisation of the widespread and exceptional reduction in river water levels across the Amazon Basin during the 2023 extreme drought revealed by satellite altimetry and SWOT (Moreira et al., 2025).
In late 2023, the Amazon River Basin indeed experienced one of its most severe drought and gauges that were still functioning recorded the lowest river water levels (RWL) ever. We use satellite observations, especially from nadir altimetry and SWOT to reveal the spread and timing of extremely low RWL across the entire river system. Nadir altimeter observations show that the 2023 minimum RWL in the Central Amazon were 3 m or more below their annual average, representing two to three times its mean variability. SWOT also clearly captures the basin-scale reduction in RWL with a spatial resolution of 200 m and how the riverdrought propagates with time. Large-scale evaluation with gauges suggests that SWOT outperforms classical altimetry in estimating RWL, despites differences that need further investigations. Our study shows that SWOT offers a new opportunity to understand hydroclimatic extremes and their broad impacts on the environment of the Amazon. It represents a first and important step to other planned activities in the SAMBA various WorkPackages.

References:
Cretaux, et al (2023), Inland Surface Waters Quantity Monitored from Remote Sensing, Surv. Geophys.,
https://doi.org/10.1007/s10712-023-09803-x
Fassoni-Andrade et al. (2021), Amazon hydrology from space: scientific advances and future challenges,
Reviews of Geophysics, 59, e2020RG000728. https://doi.org/10.1029/2020RG000728
Fleischmann et al. (2022), How much inundation occurs in the Amazon River Basin?. Remote Sens. of
Environ, 278,113099, https://doi.org/10.1016/j.rse.2022.113099.
Fleischmann et al. (2023), Increased floodplain inundation in the Amazon since 1980, Environ. Res. Lett.,
18 (3), 034024, doi:10.1088/1748-9326/acb9a7
Frappart et al. (2019), The spatio-temporal variability of groundwater storage in the Amazon River Basin,
Adv. Wat. Res., 124, 41-52 ; doi : 10.1016/j.advwatres.2018.12.005
Moreira et al. (2025), Widespread and Exceptional Reduction in River Water Levels Across the Amazon
Basin during the 2023 Extreme Drought Revealed by Satellite Altimetry and SWOT, Geophys. Res.
Lett., in press
Wongchuig et al (2024), Multi-satellite data assimilation for large-scale hydrological-hydrodynamic
prediction: Proof of concept in the Amazon basin, Water Resour. Res., 60, e2024WR037155,
https://doi.org/10.1029/2024WR037155

Contribution: ST2025HS3-SAMBA__SWOT_for_the_AMazon_BAsin_.pdf (pdf, 4915 ko)

Corresponding author:

Fabrice Papa

LEGOS/IRD

France

fabrice.papa@ird.fr

Oral presentation show times:

Room Start Date End Date
Splinter room for Hydrology (Ambassadeur) Thu, Oct 16 2025,11:20 Thu, Oct 16 2025,11:30
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